MATLAB BUILDER JA 2 User's Guide download pdf (Page 91)

Guidelines for Working with MWArray Classes

MWNumericArray.newInstance(dims, x1, MWClassID.DOUBLE);

MWNumericArray a2 =

MWNumericArray.newInstance(dims, x2, MWClassID.DOUBLE);

MWNumericArray a3 =

MWNumericArray.newInstance(dims, x3, MWClassID.DOUBLE);

MWNumericArray a4 =

MWNumericArray.newInstance(dims, x4, MWClassID.DOUBLE);

Similarly, the 2-by-2 matrix example can be rewritten as follows:

double[] x1 = {1.0, 3.0, 2.0, 4.0};

int[] x2 = {1, 3, 2, 4};

Double[] x3 = {new Double(1.0),

new Double(3.0),

new Double(2.0),

new Double(4.0)};

String[] x4 = {"1.0", "3.0"", "2.0", "4.0"};

int[] dims = {2, 2};

MWNumericArray a1 =

MWNumericArray.newInstance(dims, x1, MWClassID.DOUBLE);

MWNumericArray a2 =

MWNumericArray.newInstance(dims, x2, MWClassID.DOUBLE);

MWNumericArray a3 =

MWNumericArray.newInstance(dims, x3, MWClassID.DOUBLE);

MWNumericArray a4 =

MWNumericArray.newInstance(dims, x4, MWClassID.DOUBLE);

Note the order of the data in the input buffers. The matrix elements are

entered in column-wise order, which is the internal storage order used by

MATLAB.

Constructing Sparse Arrays

An efficient way to construct sparse matrices is to use the newSparse

constructor methods. The examples shown here create a 4-by-4 sparse matrix

with the following va lues:

x=[2-1 0 0

-1 2 -1 0

0-1 2-1

4-15

1 2 ... 86 87 88 89 90 91 92 93 94 95 96 ... 291 292

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MATLAB BUILDER JA 2 User's Guide Page 91